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Research article
Juliana Rombaldi Bernardi
Universidade Federal do Rio Grande do Sul
Corresponding Author
ORCiD: https://orcid.org/0000-0002-6803-4472
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background
Determining anthropometric measures that indicate different fat deposits can be useful to predict metabolic risk and set specific treatment goals, reducing negative consequences for maternal and fetal health. In cases where pre-gestational weight measure and subsequent body mass index (BMI) values cannot be determined, other anthropometric measurements may be ideal for measuring the nutritional status of pregnant women, especially in low- and middle-income countries. This study aims to identify which anthropometric measurements correlate better with the maternal fat deposits measured by ultrasound.
Methods
A cross-sectional study was conducted with pregnant women from the city of Porto Alegre (city), capital of Rio Grande do Sul (state), southern Brazil, from October 2016 until January 2018. Anthropometrical variables (weight, height, mid-upper arm circumference MUAC, circumferences of calf and neck and triceps skinfolds TSF and subscapular skinfolds SBSF), and ultrasound variables (visceral adipose tissue VAT and total adipose tissue TAT) were collected. To verify the correlation of anthropometric and ultrasound measurements, a non-adjusted and adjusted Spearman correlation was used. The study was approved by the ethics committees.
Results
The age median of the 149 pregnant women was 25 years 21 - 31, pre-pregnancy BMI was 26.22kg/m² 22.16 – 31.21 and gestational age was 16.2 weeks 13.05 – 18.10. The best measurements correlated with VAT and TAT were MUAC and SBSF, both of which showed a higher correlation than pre-pregnancy BMI.
Conclusion
It is possible to provide a practical and reliable estimate of VAT and TAT from the anthropometric evaluation (MUAC or SBSF) that is low cost, efficient and replicable in an outpatient clinic environment, especially in low- and middle-income countries.
Keywords
Anthropometry, Pregnant Women, Mid-Upper Arm Circumference, Body Mass Index
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Peer Review Timeline
CURRENT STATUS: Published
View the published article at BMC Pregnancy and Childbirth.
No community comments so far
Submission checks complete
On 14 Sep, 2020
Editorial decision: Accept
On 14 Sep, 2020
Version 2
Posted 30 Jul, 2020
No comments provided
Editorial decision: Minor revision
On 08 Sep, 2020
Reviewer #1 agreed
On 19 Aug, 2020
Review #1 received
Received 19 Aug, 2020
Reviewers invited
Invitations sent on 17 Aug, 2020
Editor assigned
On 22 Jul, 2020
Submission checks complete
On 21 Jul, 2020
Editor invited
On 21 Jul, 2020
No comments provided
Editorial decision: Major revision
On 28 May, 2020
Review #1 received
Received 04 Dec, 2019
Reviewer #2 agreed
On 26 Nov, 2019
Reviewers invited
Invitations sent on 21 Nov, 2019
Reviewer #1 agreed
On 21 Nov, 2019
Editor assigned
On 31 Oct, 2019
Submission checks complete
On 15 Oct, 2019
Editor invited
On 15 Oct, 2019
First submitted
On 02 Oct, 2019
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Maternal & Fetal Medicine
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A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
See the published version of this preprint at BMC Pregnancy and Childbirth.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research article
Juliana Rombaldi Bernardi
Universidade Federal do Rio Grande do Sul
Corresponding Author
ORCiD: https://orcid.org/0000-0002-6803-4472
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at BMC Pregnancy and Childbirth.
No community comments so far
Submission checks complete
On 14 Sep, 2020
Editorial decision: Accept
On 14 Sep, 2020
Version 2
Posted 30 Jul, 2020
No comments provided
Editorial decision: Minor revision
On 08 Sep, 2020
Reviewer #1 agreed
On 19 Aug, 2020
Review #1 received
Received 19 Aug, 2020
Reviewers invited
Invitations sent on 17 Aug, 2020
Editor assigned
On 22 Jul, 2020
Submission checks complete
On 21 Jul, 2020
Editor invited
On 21 Jul, 2020
No comments provided
Editorial decision: Major revision
On 28 May, 2020
Review #1 received
Received 04 Dec, 2019
Reviewer #2 agreed
On 26 Nov, 2019
Reviewers invited
Invitations sent on 21 Nov, 2019
Reviewer #1 agreed
On 21 Nov, 2019
Editor assigned
On 31 Oct, 2019
Submission checks complete
On 15 Oct, 2019
Editor invited
On 15 Oct, 2019
First submitted
On 02 Oct, 2019
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Maternal & Fetal Medicine
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at BMC Pregnancy and Childbirth.
Background
Determining anthropometric measures that indicate different fat deposits can be useful to predict metabolic risk and set specific treatment goals, reducing negative consequences for maternal and fetal health. In cases where pre-gestational weight measure and subsequent body mass index (BMI) values cannot be determined, other anthropometric measurements may be ideal for measuring the nutritional status of pregnant women, especially in low- and middle-income countries. This study aims to identify which anthropometric measurements correlate better with the maternal fat deposits measured by ultrasound.
Methods
A cross-sectional study was conducted with pregnant women from the city of Porto Alegre (city), capital of Rio Grande do Sul (state), southern Brazil, from October 2016 until January 2018. Anthropometrical variables (weight, height, mid-upper arm circumference MUAC, circumferences of calf and neck and triceps skinfolds TSF and subscapular skinfolds SBSF), and ultrasound variables (visceral adipose tissue VAT and total adipose tissue TAT) were collected. To verify the correlation of anthropometric and ultrasound measurements, a non-adjusted and adjusted Spearman correlation was used. The study was approved by the ethics committees.
Results
The age median of the 149 pregnant women was 25 years 21 - 31, pre-pregnancy BMI was 26.22kg/m² 22.16 – 31.21 and gestational age was 16.2 weeks 13.05 – 18.10. The best measurements correlated with VAT and TAT were MUAC and SBSF, both of which showed a higher correlation than pre-pregnancy BMI.
Conclusion
It is possible to provide a practical and reliable estimate of VAT and TAT from the anthropometric evaluation (MUAC or SBSF) that is low cost, efficient and replicable in an outpatient clinic environment, especially in low- and middle-income countries.
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